Increased levels of noisy splicing in cancers, but not for oncogene-derived transcripts

Recent genome-wide analyses have detected numerous cancer-specific alternative splicing (AS) events. Whether transcripts containing cancer-specific AS events are likely to be translated into functional proteins or simply reflect noisy splicing, thereby determining their clinical relevance, is not known. Here we show that consistent with a noisy-splicing model, cancer-specific AS events generally tend to be rare, containing more premature stop codons and have less identifiable functional domains in both the human and mouse. Interestingly, common cancer-derived AS transcripts from tumour suppressor and oncogenes show marked changes in premature stop-codon frequency; with tumour suppressor genes exhibiting increased levels of premature stop codons whereas oncogenes have the opposite pattern. We conclude that tumours tend to have faithful oncogene splicing and a higher incidence of premature stop codons among tumour suppressor and cancer-specific splice variants showing the importance of considering splicing noise when analysing cancer-specific splicing changes.

[1]  K. Buetow,et al.  Computational analysis and experimental validation of tumor-associated alternative RNA splicing in human cancer. , 2003, Cancer research.

[2]  D. Hibbett,et al.  The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses , 2009, BMC Biology.

[3]  Octavio Martínez,et al.  Cancer Reduces Transcriptome Specialization , 2010, PloS one.

[4]  Joseph K. Pickrell,et al.  Noisy Splicing Drives mRNA Isoform Diversity in Human Cells , 2010, PLoS genetics.

[5]  J. Venables Unbalanced alternative splicing and its significance in cancer , 2006, BioEssays : news and reviews in molecular, cellular and developmental biology.

[6]  Guey-Shin Wang,et al.  Splicing in disease: disruption of the splicing code and the decoding machinery , 2007, Nature Reviews Genetics.

[7]  L. Hurst,et al.  Noisy splicing, more than expression regulation, explains why some exons are subject to nonsense-mediated mRNA decay , 2009, BMC Biology.

[8]  Steven E. Brenner,et al.  Widespread predicted nonsense-mediated mRNA decay of alternatively-spliced transcripts of human normal and disease genes , 2003, ISMB.

[9]  Zhixiang Zuo,et al.  A Global View of Cancer-Specific Transcript Variants by Subtractive Transcriptome-Wide Analysis , 2009, PloS one.

[10]  S. Brenner,et al.  Evidence for the widespread coupling of alternative splicing and nonsense-mediated mRNA decay in humans , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[11]  S. Brunak,et al.  Improved prediction of signal peptides: SignalP 3.0. , 2004, Journal of molecular biology.

[12]  Christopher J. Lee,et al.  Discovery of novel splice forms and functional analysis of cancer-specific alternative splicing in human expressed sequences. , 2003, Nucleic acids research.

[13]  Gregory D. Schuler,et al.  Database resources of the National Center for Biotechnology Information: update , 2004, Nucleic acids research.

[14]  L. Holm,et al.  The Pfam protein families database , 2005, Nucleic Acids Res..

[15]  A. Krogh,et al.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. , 2001, Journal of molecular biology.

[16]  K. Silina,et al.  Alterations of pre‐mRNA splicing in cancer , 2005, Genes, chromosomes & cancer.

[17]  Rolf Apweiler,et al.  InterProScan - an integration platform for the signature-recognition methods in InterPro , 2001, Bioinform..

[18]  Eric T. Wang,et al.  Alternative Isoform Regulation in Human Tissue Transcriptomes , 2008, Nature.

[19]  Yixue Li,et al.  Identification of alternatively spliced mRNA variants related to cancers by genome-wide ESTs alignment , 2004, Oncogene.

[20]  Gil Ast,et al.  Insights into the connection between cancer and alternative splicing. , 2008, Trends in genetics : TIG.

[21]  K. Nakai,et al.  PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization. , 1999, Trends in biochemical sciences.

[22]  B. Frey,et al.  Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing , 2008, Nature Genetics.

[23]  Chris Sander,et al.  CancerGenes: a gene selection resource for cancer genome projects , 2006, Nucleic Acids Res..

[24]  R. Skotheim,et al.  Alternative splicing in cancer: noise, functional, or systematic? , 2007, The international journal of biochemistry & cell biology.

[25]  Thomas D. Wu,et al.  GMAP: a genomic mapping and alignment program for mRNA and EST sequence , 2005, Bioinform..